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Sports Analytics Manager Jobs (NOW HIRING)

Jostens

Manager, Analytics & Insights

Minneapolis, MN · On-site

$95K - $115K/yr

MANAGER, ANALYTICS & INSIGHTS ABOUT YOU: The Manager, Analytics & Insights plays a pivotal role in ... sports teams and esteemed organizations across the country. Our iconic products - like yearbooks ...

Jostens

Manager, Analytics & Insights

Minneapolis, MN · Hybrid

$95K - $115K/yr

The Manager, Analytics amp; Insights plays a pivotal role in guiding strategic decisions by ... with beloved sports teams and esteemed organizations across the country. Our iconic products ...

Varsitybrands

$140K - $150K/yr

BSN SPORTS, A VARSITY BRANDS COMPANY - THE RECOGNIZED LEADER IN TEAM ATHLETIC GEAR For over 50 ... and performance management preferred * Experience balancing analytical rigor with field ...

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How much do sports analytics manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for sports analytics manager in the United States is $55,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is a sports analytics manager?

A sports analytics manager is responsible for analyzing data related to athletic performance, team strategies, and game statistics to inform decision-making. They often use statistical software and data visualization tools, and typically require strong analytical skills and knowledge of sports science or statistics. Their role helps teams improve performance and gain competitive advantages.

What does a Sports Analytics Manager do?

A Sports Analytics Manager is responsible for collecting, analyzing, and interpreting data related to athletic performance, player statistics, and team strategies. They use advanced statistical methods and software to help teams make informed decisions about player recruitment, game tactics, and injury prevention. By turning complex data into actionable insights, they play a crucial role in enhancing a team's competitive edge. These professionals often collaborate with coaches, scouts, and executives to implement data-driven strategies across the organization.

What is the highest salary for a sports analyst?

The highest salaries for sports analysts can exceed $100,000 annually, especially for those with extensive experience, advanced analytics skills, and work with major sports organizations or media companies. Senior roles or those with specialized expertise in data modeling and visualization tools tend to command higher compensation.

What is the highest paying job in sports management?

The highest paying jobs in sports management are typically executive roles such as Sports Director, General Manager, or Chief Operating Officer, with salaries often exceeding six figures and sometimes reaching into the millions for top positions in major organizations. These roles require extensive experience, leadership skills, and a deep understanding of sports business operations.

Will sports analytics jobs be replaced by AI?

Sports analytics managers use data analysis, statistical models, and software tools to evaluate athletic performance and team strategies. While AI can automate data processing and generate insights, human expertise is essential for interpreting complex patterns and making strategic decisions, so these roles are likely to evolve rather than be fully replaced.

What is the difference between Sports Analytics Manager vs Sports Data Analyst?

AspectSports Analytics ManagerSports Data Analyst
Required CredentialsBachelor's or Master's in Sports Management, Statistics, or related field; experience in analyticsBachelor's in Statistics, Data Science, or related field; strong analytical skills
Work EnvironmentLeads teams, manages projects, strategic planningAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageSports teams, leagues, sports analytics firmsSports teams, media outlets, analytics companies
Search & Comparison IntentUnderstanding managerial roles in sports analyticsEntry to mid-level data analysis roles in sports

The Sports Analytics Manager oversees analytics teams and strategic initiatives, while the Sports Data Analyst focuses on data collection, analysis, and reporting. The manager role involves leadership and planning, whereas the analyst role emphasizes technical data work. Both roles require strong analytical skills and relevant education, but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Sports Analytics Manager, and why are they important?

To thrive as a Sports Analytics Manager, you need strong quantitative analysis skills, a background in statistics or data science, and typically a relevant degree such as in mathematics, statistics, or sports management. Familiarity with data analysis tools like R, Python, SQL, and sports analytics software is crucial, along with experience in data visualization platforms. Exceptional communication, problem-solving, and leadership abilities help translate complex data into actionable insights for coaches and executives. These skills drive data-informed decisions that enhance team performance, strategy, and competitive advantage.

What are some common challenges faced by a Sports Analytics Manager when integrating data-driven insights into coaching decisions?

A Sports Analytics Manager often encounters challenges when translating complex data insights into actionable recommendations that coaches and athletes can easily understand and trust. Bridging the gap between technical analytics and practical application requires strong communication skills and ongoing collaboration with coaching staff. Additionally, gaining buy-in from team members who may be skeptical about analytics, and ensuring data quality and relevance, are frequent hurdles. Overcoming these challenges involves building strong relationships, providing clear and compelling data visualizations, and demonstrating the tangible impact of analytics on team performance.
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Sports Analytics Manager jobs near you
Director of Project Management

Director of Project Management

Swish Analytics

San Francisco, CA • On-site, Remote

$190K/yr

Full-time

Re-posted 4 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
This position is 100% Remote
We are looking for a Director of Project Management to build the operational backbone that makes coordinated delivery possible across Swish. This is a build role, not a maintenance role. You will own how work gets planned, prioritized, tracked, and delivered across the company, and you will lead the cross-functional programs that no single department can deliver alone.
This is a senior leadership hire. You will lead our PMO, set the standard for the function, and partner directly with founders and department heads. Success is measured by whether the organization executes against its goals with predictability and visibility - not by process for its own sake.
What you'll own
  • Cross-functional program leadership - Direct ownership of the programs that span Trading, Engineering, Data Science, and Data Engineering. You are the single accountable owner for delivery across team boundaries on these programs, including dependencies, sequencing, risk, and the tradeoff decisions when priorities collide.
  • The operating system for delivery - Own and evolve the frameworks that let the company plan and execute coherently - intake, prioritization, change management, project lifecycle, definition of done, and release cadence. The goal is a system the teams internalize and run themselves, not a process the PMO has to police.
  • Delivery coordination and predictability - Establish the cadence, instrumentation, and reporting that make work visible from company strategy down to individual execution. Surface risks early. Make reprioritization a deliberate, logged decision rather than a silent one.
  • Delivery maturity across the org - Teams across Swish operate at different levels of delivery discipline. You will set the bar, point to what already works well internally, and partner with department heads to raise the standard everywhere - through influence and demonstrated value rather than mandate.
  • Team leadership - Lead, develop, and grow the PMO. Set the behavioral and craft bar for the function, coach toward a standard, calibrate across the team, and build the bench.

What we're looking for:
  • Built a PMO before - You have stood up or substantially rebuilt a program management function - not just run projects inside someone else's system. You know the difference between coordinating work and designing the system that coordinates work.
  • Cross-functional program depth - You have owned large programs that spanned multiple engineering and technical organizations, with real accountability for delivery across boundaries.
  • Builds for adoption - You think like a product person building something users will actually use, not a policy author issuing mandates. You understand that the simplest process that gets adopted beats the comprehensive one that gets routed around.
  • Operates with founders and executives - You can hold your own as a peer with department heads and founders, bring the value and capacity cases to prioritization decisions, and influence without formal authority over the teams you coordinate.
  • Sound judgment under pressure - You escalate cleanly rather than absorbing blockers, navigate competing priorities and organizational friction with maturity, and know which battles are worth fighting.

What success looks like
  • The company's most important cross-functional programs have a single accountable delivery owner and a clear, visible plan tied to company goals.
  • Cross-functional work no longer falls through the seams between teams.
  • Work is visible from strategy to execution, and reprioritization is a logged, deliberate event.
  • Teams run the delivery system themselves because it makes their work easier, not because they're forced to.
  • The PMO is a respected partner to the founders and department heads, not a bureaucratic tax.

Preferred:
  • Experience in sports, sports betting, fintech, or real-time data environments
  • Background scaling a program management team through a period of rapid company change
  • Familiarity with the Atlassian stack (Jira, Confluence) and lightweight automation

Salary: Base salary starting at $190,000 +
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Business Operations Locations San Francisco, CA - Remote Remote status Fully Remote

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